Development of integrated production scheduling system for iron and steel works

Sato, Shuzo; Yamaoka, Takashi; Aoki, Yutaro; Ueda, Toru

doi:10.1080/00207547708943148

Cited by 12 publications

(2 citation statements)

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“…However, too many constraints resulted in computational difficulties. The work by Sato et al (1977) was an early effort at making use of an expert system to solve the iron and steel scheduling problem. Jacobs et al (1988) put forward a goal programming model to simulate the decision of those experts responsible for developing the production schedule making mill operations.…”

Section: Literature Reviewmentioning

confidence: 99%

Production scheduling optimization algorithm for the hot rolling processes

Chen

Yang

2008

International Journal of Production Research

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The hot rolling production scheduling problem is an extremely difficult and time-consuming process, so it is quite difficult to achieve an optimal solution with traditional optimization methods owing to the high computational complexity. To ensure the feasibility of solutions and improve the efficiency of the scheduling, this paper proposes a vehicle routing problem (VRP) to model the problem and develops an easily implemented hybrid approach (QPSO-SA) to solve the problem. In the hybrid approach, quantum particle swarm optimization (QPSO) combines local search and global search to search the optimal results and simulated annealing (SA) employs certain probability to avoid getting into a local optimum. The computational results from actual production data have shown that the proposed model and algorithm are feasible and effective for the hot rolling scheduling problem.

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Section: Literature Reviewmentioning

confidence: 99%

Production scheduling optimization algorithm for the hot rolling processes

Chen

Yang

2008

International Journal of Production Research

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“…Next, a heuristic approach is used to evaluate the bids. An example of using expert system techniques for iron and steel production scheduling is provided by Sato et al [6]. Numao and Morishita [7] described an expert system application to perform co-operative scheduling in which the schedule was modified by the scheduler using a graphical user interface.…”

Section: Literature Reviewmentioning

confidence: 99%

A Model Embedded the Intelligent Scheduling System for Steelmaking Production Process

Wang

Chai

Sun³

2007

Second International Conference on Innovative Computing, Informatio and Control (ICICIC 2007)

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This paper presents a model for solving machine conflicts in steelmaking and continuous casting production scheduling process. The model is set based on actual production situations, considering both start casing time on casters and device situations. It is a linear programming model that can be solved using software packages developed by us. The paper also describes the scheduling strategy of an intelligent scheduling system (ISS), the soft system is also developed and successfully applied to one large steel plant in China. An example demonstrate that the model embedded ISS is an effective as method.

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An Application of Systems Modelling in Steel Production Scheduling

Wright¹,

Houck²

1985

Engineering Software IV

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Development of integrated production scheduling system for iron and steel works

Cited by 12 publications

References 1 publication

Production scheduling optimization algorithm for the hot rolling processes

Production scheduling optimization algorithm for the hot rolling processes

A Model Embedded the Intelligent Scheduling System for Steelmaking Production Process

An Application of Systems Modelling in Steel Production Scheduling

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